H-1B Visa Sponsor Checker & Score for Job Listings avatar

H-1B Visa Sponsor Checker & Score for Job Listings

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H-1B Visa Sponsor Checker & Score for Job Listings

H-1B Visa Sponsor Checker & Score for Job Listings

Check if a company sponsors H-1B visas. Adds U.S. Department of Labor H-1B filing history (LCAs by fiscal year, certified rate, top job titles, median offered wage) and a 0-100 sponsor score to company names or any LinkedIn, Indeed or jobs dataset. For job seekers, recruiters and job boards.

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Ultimate Foresight Inc

Ultimate Foresight Inc

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H-1B Visa Sponsor Checker tells you whether a company sponsors H-1B visas, using official U.S. Department of Labor (DOL) H-1B filing records. Give it company names, or a jobs dataset from a LinkedIn, Indeed or careers-page scraper, and each employer gets its H-1B filing history (Labor Condition Applications by fiscal year, certified rate, top job titles, median offered wage, top worksite states) plus a 0-100 sponsor score and tier. Click Start with the prefilled example (Google, Amazon, Infosys) to see results in seconds.

What does H-1B Visa Sponsor Checker do?

  • ✅ Looks up any U.S. employer in DOL H-1B LCA disclosure data for decisions from 2024-10-01 to 2026-06-30 (about 1.02 million cases, 86,789 employers)
  • ✅ Returns filings per fiscal year (total, certified, denied, withdrawn, positions requested), certified rate, top 5 job titles, top occupations, median offered wage and top worksite states
  • ✅ Adds a sponsor score (0-100) and tier: frequent, regular, occasional, rare, or no record found
  • ✅ Enriches job listings: point it at the dataset from any Apify jobs scraper and every job gets an h1bSponsor object, so you can filter for visa-friendly employers
  • ✅ Handles messy company names: ignores Inc, LLC, Ltd and similar suffixes, with exact, fuzzy and prefix matching, plus a match confidence and the matched DOL employer name
  • ✅ Fast and private: the DOL index is bundled in the Actor, so no website is scraped and no personal data is returned

Who is it for?

  • 🎓 International students and job seekers (F-1, OPT, H-1B transfers) who want to apply only where sponsorship is likely
  • 🧑‍💼 Recruiters and staffing agencies qualifying employers and roles
  • 🗂️ Job boards and career tools adding a "sponsors visas" badge or filter
  • 🤖 AI job-search agents that need a quick sponsor check as a tool

How to check if a company sponsors H-1B

  1. Click Try for free or Start. The input is prefilled with Google, Amazon and Infosys.
  2. Type your own company names in Employer names, one per line.
  3. Optional: to enrich job listings, pick a jobs dataset in Jobs dataset ID. The company field is auto-detected (companyName, company, employer, employerName, hiringOrganization, and others).
  4. Click Start. Each company or job becomes one row.
  5. Sort by sponsorScore, filter by sponsorTier, and download as JSON, CSV or Excel, or fetch through the API.

Input example

This is the prefilled input:

{ "employers": ["Google", "Amazon", "Infosys"] }

To enrich a jobs dataset instead (or as well):

{ "datasetId": "YOUR_JOBS_DATASET_ID", "companyField": "companyName", "maxItems": 1000 }

Other options: fuzzyThreshold (default 92; higher means fewer but safer fuzzy matches) and aggregateFamily (off by default; sums all DOL entities whose names start with your query, such as every "Amazon ..." entity).

Output example

This is real output from the prefilled input (run on 2026-10-21). Two of the three rows are shown; Infosys returned an exact match to INFOSYS LIMITED with a score of 100.

[
{
"employerQuery": "Google",
"normalizedQuery": "google",
"matchType": "exact",
"matchConfidence": 1,
"matchedEmployer": "Google LLC",
"matchedEntityCount": 1,
"matchedEmployerNames": [
"Google LLC"
],
"hasH1bRecord": true,
"sponsorScore": 100,
"sponsorTier": "frequent sponsor",
"lcaFilingsByFiscalYear": {
"FY2025": {
"lca_all": 8935,
"h1b": 8778,
"positions": 8778,
"certified": 8684,
"withdrawn": 79,
"denied": 15
},
"FY2026": {
"lca_all": 7486,
"h1b": 7383,
"positions": 8670,
"certified": 7339,
"withdrawn": 33,
"denied": 11
}
},
"certifiedLcaTotal": 16023,
"deniedLcaTotal": 26,
"certifiedRate": 0.9984,
"topJobTitles": [
{
"title": "Software Engineer",
"count": 9719
},
{
"title": "Research Scientist",
"count": 377
},
{
"title": "Technical Program Manager",
"count": 366
},
{
"title": "Product Manager",
"count": 350
},
{
"title": "Program Manager",
"count": 304
}
],
"topOccupations": [
"Software Developers",
"Data Scientists",
"Computer and Information Research Scientists"
],
"medianOfferedWageUsd": 186000,
"lastCertifiedDecisionDate": "2026-06-30",
"topWorksiteStates": [
"CA",
"WA",
"NY"
],
"relatedEmployers": [
{
"name": "Google Public Sector LLC",
"h1bLcaTotal": 13
},
{
"name": "Google Client Services LLC",
"h1bLcaTotal": 2
}
],
"dataVintage": "DOL OFLC LCA decisions 2024-10-01 to 2026-06-30"
},
{
"employerQuery": "Amazon",
"normalizedQuery": "amazon",
"matchType": "prefix-dominant",
"matchConfidence": 0.75,
"matchedEmployer": "Amazon.com Services LLC",
"matchedEntityCount": 1,
"matchedEmployerNames": [
"Amazon.com Services LLC"
],
"hasH1bRecord": true,
"sponsorScore": 100,
"sponsorTier": "frequent sponsor",
"lcaFilingsByFiscalYear": {
"FY2025": {
"lca_all": 15528,
"h1b": 15226,
"positions": 58745,
"certified": 15195,
"withdrawn": 28,
"denied": 3
},
"FY2026": {
"lca_all": 13930,
"h1b": 13715,
"positions": 43878,
"certified": 13712,
"denied": 2,
"withdrawn": 1
}
},
"certifiedLcaTotal": 28907,
"deniedLcaTotal": 5,
"certifiedRate": 0.9998,
"topJobTitles": [
{
"title": "Software Dev Engineer Ii",
"count": 3430
},
{
"title": "Software Development Engineer Ii",
"count": 2812
},
{
"title": "Software Dev Engineer I",
"count": 1999
},
{
"title": "Software Development Engineer I",
"count": 1279
},
{
"title": "Applied Scientist Ii",
"count": 1089
}
],
"topOccupations": [
"Software Developers",
"Business Intelligence Analysts",
"Computer and Information Systems Managers"
],
"medianOfferedWageUsd": 156333,
"lastCertifiedDecisionDate": "2026-06-30",
"topWorksiteStates": [
"WA",
"CA",
"TX"
],
"relatedEmployers": [
{
"name": "Amazon Web Services, Inc.",
"h1bLcaTotal": 6162
},
{
"name": "Amazon Development Center U.S., Inc.",
"h1bLcaTotal": 5032
},
{
"name": "Amazon Data Services, Inc",
"h1bLcaTotal": 2203
},
{
"name": "Amazon Advertising LLC",
"h1bLcaTotal": 321
},
{
"name": "Amazon Payments, Inc.",
"h1bLcaTotal": 22
}
],
"dataVintage": "DOL OFLC LCA decisions 2024-10-01 to 2026-06-30"
}
]

With datasetId, each job item is copied unchanged and gets an h1bSponsor object with these same fields.

How the sponsor score works

score = volume (up to 60) + recency (up to 25) + certified rate (up to 15)

  • Volume = 60 × log10(1 + certified LCAs) / log10(1001). It reaches the maximum at about 1,000 certified LCAs in the data window.
  • Recency: last certified decision within 90 days of the data end date scores 25; within 180 days, 20; within 365 days, 12; older, 5.
  • Certified rate = certified / (certified + denied) × 15.

Tiers: frequent sponsor (70 or more), regular (40-69), occasional (15-39), rare (under 15), no record found.

How much does an H-1B sponsor check cost?

This Actor uses pay-per-event pricing:

  • $0.002 per result (one row per company or job item)
  • a tiny Actor start fee of $0.00005 per run
  • plus the small Apify platform usage of the run, paid by you. For the prefilled 3-company example this was about $0.0002 (512 MB, about 4 seconds).

So 1,000 companies or job listings cost about $2.00, plus platform usage. You pay only for rows returned, and Apify lets you set a maximum cost per run.

Use it through the API, integrations or AI agents

  • API: POST https://api.apify.com/v2/acts/ultimatemc~h1b-visa-sponsor-score/run-sync-get-dataset-items with your Apify token and the input JSON as the body. JavaScript and Python examples are on the API tab.
  • AI agents (MCP): add https://mcp.apify.com?tools=ultimatemc/h1b-visa-sponsor-score to Claude, Cursor, ChatGPT or any MCP client so your agent can answer "does this company sponsor H-1B?" with DOL data. See Apify MCP server.
  • Chain it after a jobs scraper: run any LinkedIn or Indeed jobs scraper, then pass its dataset ID here, manually, on a schedule, or with an Apify integration or webhook.

Data source and license

  • U.S. Department of Labor, Office of Foreign Labor Certification, LCA Disclosure Data (H-1B, H-1B1, E-3): dol.gov/agencies/eta/foreign-labor/performance. Files used: FY2025 Q1-Q4 and FY2026 Q3 (cumulative), covering decisions from 2024-10-01 to 2026-06-30. FY2026 is partial (October 2025 to June 2026).
  • U.S. Government work, public domain (17 U.S.C. §105).
  • Only employer-level fields are kept; contact, attorney and preparer fields are dropped.
  • The data is bundled in the Actor and refreshed when the Actor is rebuilt with newer DOL files.

FAQ

Does a certified LCA mean the company will sponsor me?

No. An LCA is the first step of H-1B sponsorship. A certified LCA is not an approved visa petition (USCIS decides that), and one LCA can cover several positions or be filed for an existing employee. Past filings don't guarantee future sponsorship.

Why does "Amazon" match "Amazon.com Services LLC"?

When there is no exact match, the Actor picks the largest DOL filer whose name starts with your query (prefix-dominant, shown with lower confidence) and lists other entities in relatedEmployers. Turn on aggregateFamily to sum them all.

A company shows "no record found". Does it never sponsor?

Not necessarily. It may file under a different legal name, be new to sponsorship, or have no decisions in the covered period. Try the legal entity name.

How current is the data?

Decisions through 2026-06-30. DOL publishes quarterly files with a lag of about 3-4 months.

Is this immigration advice?

No. It summarizes public DOL records. Talk to an immigration attorney about your situation.

Limitations

  • Matching uses the company name only, so different companies with similar names can be confused. Check matchType, matchConfidence and matchedEmployer.
  • Median wage is the median of each case's lowest offered wage, converted to a yearly figure. With aggregateFamily it is a weighted median across entities.
  • USCIS petition approvals and PERM green-card filings are not included.

Other tools by Ultimate Foresight

Wrong match or missing employer? Open an issue on the Issues tab with the company name.